max_variance_new_cluster.hpp File Reference
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Classes | |
| class | MaxVarianceNewCluster |
| When an empty cluster is detected, this class takes the point furthest from the centroid of the cluster with maximum variance as a new cluster. More... | |
Namespaces | |
| mlpack | |
Linear algebra utility functions, generally performed on matrices or vectors. | |
| mlpack::kmeans | |
K-Means clustering. | |
Detailed Description
An implementation of the EmptyClusterPolicy policy class for K-Means. When an empty cluster is detected, the point furthest from the centroid of the cluster with maximum variance is taken to be a new cluster.
mlpack is free software; you may redistribute it and/or modify it under the terms of the 3-clause BSD license. You should have received a copy of the 3-clause BSD license along with mlpack. If not, see http://www.opensource.org/licenses/BSD-3-Clause for more information.
Definition in file max_variance_new_cluster.hpp.